import OAI.Analysis.HotSpots.Reciprocal namespace OAI section DouglasLipschitzBase noncomputable section section FullBoundaryCombinedLayer section DiskFiniteLayer open Filter Matrix open scoped Topology namespace StrictHotSpots.ScalarKernel lemma choose_recurrence (a : ℝ) (n : ℕ) : ((n : ℝ) + 1) * Ring.choose a (n + 1) = (a - n) * Ring.choose a n := by have hh := Ring.descPochhammer_eq_factorial_smul_choose a (n + 1) rw [descPochhammer_succ_right, Polynomial.smeval_mul, Polynomial.smeval_sub, Polynomial.smeval_X, Polynomial.smeval_natCast, Ring.descPochhammer_eq_factorial_smul_choose] at hh simp only [nsmul_eq_mul, Nat.factorial_succ, Nat.cast_mul, Nat.cast_add, Nat.cast_one] at hh have hn : (n.factorial : ℝ) ≠ 0 := by positivity apply mul_left_cancel₀ hn nlinarith [hh] def coeff (a : ℝ) (n : ℕ) : ℝ := -(Ring.choose a (n + 2) * (-1) ^ (n + 2)) lemma coeff_nonneg {a : ℝ} (ha : 0 ≤ a) (ha1 : a ≤ 1) (n : ℕ) : 0 ≤ coeff a n := by induction n with | zero => have hh := choose_recurrence a 1 simp only [Nat.cast_one, Ring.choose_one_right] at hh simp only [coeff, zero_add, even_two, Even.neg_pow, one_pow, mul_one] nlinarith [mul_nonneg ha (sub_nonneg.mpr ha1)] | succ n ih => have hh := choose_recurrence a (n + 2) have hrec : ((n : ℝ) + 3) * coeff a (n + 1) = ((n : ℝ) + 2 - a) * coeff a n := by simp only [coeff, Nat.cast_add, Nat.cast_ofNat] at * rw [show n + 1 + 2 = (n + 2) + 1 by omega, pow_succ] nlinarith [congrArg (fun t : ℝ => t * (-1) ^ (n + 2)) hh] have hn : 0 < (n : ℝ) + 3 := by positivity have hmul : 0 ≤ ((n : ℝ) + 2 - a) * coeff a n := mul_nonneg (by have : (0 : ℝ) ≤ n := Nat.cast_nonneg n; linarith) ih nlinarith lemma binomial_hasSum {a k : ℝ} (hk : |k| < 1) : HasSum (fun n : ℕ => Ring.choose a n * (-k) ^ n) ((1 - k) ^ a) := by have hh := (Real.one_add_rpow_hasFPowerSeriesOnBall_zero (a := a)).hasSum (y := -k) (by simpa [Metric.mem_eball, edist_dist, Real.norm_eq_abs] using hk) simpa [binomialSeries, FormalMultilinearSeries.coeff_ofScalars, sub_eq_add_neg, mul_comm] using hh lemma defect_hasSum {a k : ℝ} (hk0 : 0 < k) (hk1 : k < 1) : HasSum (fun n : ℕ => coeff a n * k ^ (n + 1)) ((1 - (1 - k) ^ a) / k - a) := by have hh := binomial_hasSum (a := a) (abs_lt.mpr ⟨by linarith, hk1⟩) have ht := (hasSum_nat_add_iff' 2).mpr hh have hs := ht.mul_left (-k⁻¹) have he : (fun n : ℕ => -k⁻¹ * (Ring.choose a (n + 2) * (-k) ^ (n + 2))) = (fun n : ℕ => coeff a n * k ^ (n + 1)) := by funext n rw [neg_pow k (n + 2)] simp only [coeff, pow_add] field_simp rw [he] at hs have hv : -k⁻¹ * ((1 - k) ^ a - ∑ i ∈ Finset.range 2, Ring.choose a i * (-k) ^ i) = (1 - (1 - k) ^ a) / k - a := by simp only [Finset.sum_range_succ, Finset.sum_range_zero, Ring.choose_zero_right, Ring.choose_one_right, pow_zero, pow_one] field_simp ring rwa [hv] at hs section Matrix variable {ι : Type*} [Fintype ι] lemma posSemidef_entry_pow {A : Matrix ι ι ℝ} (hA : A.PosSemidef) (n : ℕ) : (Matrix.of (fun i j => A i j ^ n)).PosSemidef := by induction n with | zero => simpa [Matrix.vecMulVec] using (Matrix.posSemidef_vecMulVec_self_star (fun _ : ι => (1 : ℝ))) | succ n ih => have he : Matrix.of (fun i j => A i j ^ (n + 1)) = Matrix.of (fun i j => A i j ^ n) ⊙ A := by ext i j simp [pow_succ] rw [he] exact ih.hadamard hA lemma posSemidef_of_entrywise_tendsto {A : ℕ → Matrix ι ι ℝ} {B : Matrix ι ι ℝ} (hA : ∀ n, (A n).PosSemidef) (hlim : ∀ i j, Tendsto (fun n => A n i j) atTop (𝓝 (B i j))) : B.PosSemidef := by apply Matrix.PosSemidef.of_dotProduct_mulVec_nonneg · apply Matrix.isHermitian_iff_isSymm.mpr ext i j exact tendsto_nhds_unique (hlim j i) ((hlim i j).congr fun n => by simpa using (hA n).isHermitian.apply j i) · intro x have hlimq : Tendsto (fun n => star x ⬝ᵥ A n *ᵥ x) atTop (𝓝 (star x ⬝ᵥ B *ᵥ x)) := by unfold dotProduct Matrix.mulVec exact tendsto_finsetSum _ (fun i _ => tendsto_const_nhds.mul (tendsto_finsetSum _ fun j _ => (hlim i j).mul tendsto_const_nhds)) exact ge_of_tendsto hlimq (Filter.Eventually.of_forall fun n => (hA n).dotProduct_mulVec_nonneg x) lemma defect_posSemidef {A : Matrix ι ι ℝ} (hA : A.PosSemidef) (hpos : ∀ i j, 0 < A i j) (hlt : ∀ i j, A i j < 1) {a : ℝ} (ha : 0 ≤ a) (ha1 : a ≤ 1) : (Matrix.of (fun i j => (1 - (1 - A i j) ^ a) / A i j - a)).PosSemidef := by apply posSemidef_of_entrywise_tendsto (A := fun n => ∑ m ∈ Finset.range n, coeff a m • Matrix.of (fun i j => A i j ^ (m + 1))) · intro n exact Matrix.posSemidef_sum _ (fun m _ => (posSemidef_entry_pow hA _).smul (coeff_nonneg ha ha1 m)) · intro i j simpa only [Matrix.sum_apply, Matrix.smul_apply, Matrix.of_apply, smul_eq_mul] using (defect_hasSum (a := a) (hpos i j) (hlt i j)).tendsto_sum_nat lemma integral_posSemidef {F : ℝ → Matrix ι ι ℝ} (hF : ∀ a ∈ Set.Icc (0 : ℝ) 1, (F a).PosSemidef) (hi : ∀ i j, IntervalIntegrable (fun a => F a i j) MeasureTheory.volume 0 1) : (Matrix.of (fun i j => ∫ a in (0 : ℝ)..1, F a i j)).PosSemidef := by apply Matrix.PosSemidef.of_dotProduct_mulVec_nonneg · apply Matrix.isHermitian_iff_isSymm.mpr ext i j apply intervalIntegral.integral_congr intro a ha have ha' : a ∈ Set.Icc (0 : ℝ) 1 := by simpa using ha simpa using (hF a ha').isHermitian.apply i j · intro v have he : (star v ⬝ᵥ (Matrix.of (fun i j => ∫ a in (0 : ℝ)..1, F a i j)) *ᵥ v) = ∫ a in (0 : ℝ)..1, star v ⬝ᵥ F a *ᵥ v := by simp only [dotProduct, Matrix.mulVec, star_trivial, Matrix.of_apply] rw [intervalIntegral.integral_finsetSum] · apply Finset.sum_congr rfl intro i _ rw [intervalIntegral.integral_const_mul, intervalIntegral.integral_finsetSum] · simp only [intervalIntegral.integral_mul_const] · intro j _ exact (hi i j).mul_const _ · intro i _ simpa only [Finset.sum_apply] using (IntervalIntegrable.sum Finset.univ fun j _ => (hi i j).mul_const (v j)).const_mul (v i) rw [he] apply intervalIntegral.integral_nonneg (by norm_num) intro a ha exact (hF a ha).dotProduct_mulVec_nonneg v end Matrix lemma integral_rpow_parameter {x : ℝ} (hx : 0 < x) (hx1 : x < 1) : (∫ a in (0 : ℝ)..1, x ^ a) = (x - 1) / Real.log x := by have hl : Real.log x ≠ 0 := ne_of_lt (Real.log_neg hx hx1) have hh := intervalIntegral.mul_integral_comp_mul_left (f := Real.exp) (a := 0) (b := 1) (Real.log x) simp only [mul_zero, mul_one, integral_exp, Real.exp_zero, Real.exp_log hx] at hh rw [eq_div_iff hl] convert hh using 1 · simp only [Real.rpow_def_of_pos hx, mul_comm] lemma integral_defect {k : ℝ} (hk0 : 0 < k) (hk1 : k < 1) : (∫ a in (0 : ℝ)..1, ((1 - (1 - k) ^ a) / k - a)) = k⁻¹ - 1 / 2 + (Real.log (1 - k))⁻¹ := by have hb : 0 < 1 - k := sub_pos.mpr hk1 have hcont : Continuous (fun a : ℝ => (1 - k) ^ a) := Real.continuous_const_rpow hb.ne' have hi := hcont.intervalIntegrable (μ := MeasureTheory.volume) 0 1 have hi1 : IntervalIntegrable (fun a : ℝ => (1 - (1 - k) ^ a) / k) MeasureTheory.volume 0 1 := ((continuous_const.sub hcont).div_const k).intervalIntegrable 0 1 have hiid : IntervalIntegrable (fun a : ℝ => a) MeasureTheory.volume 0 1 := continuous_id.intervalIntegrable 0 1 rw [intervalIntegral.integral_sub hi1 hiid] rw [intervalIntegral.integral_div, intervalIntegral.integral_sub (continuous_const.intervalIntegrable 0 1) hi] rw [integral_rpow_parameter hb (by linarith)] norm_num [intervalIntegral.integral_const, integral_id] field_simp ring section Matrix variable {ι : Type*} [Fintype ι] lemma logDefect_posSemidef {A : Matrix ι ι ℝ} (hA : A.PosSemidef) (hpos : ∀ i j, 0 < A i j) (hlt : ∀ i j, A i j < 1) : (Matrix.of (fun i j => (A i j)⁻¹ - 1 / 2 + (Real.log (1 - A i j))⁻¹)).PosSemidef := by have hh := integral_posSemidef (F := fun a => Matrix.of (fun i j => (1 - (1 - A i j) ^ a) / A i j - a)) (fun a ha => defect_posSemidef hA hpos hlt ha.1 ha.2) (fun i j => (((continuous_const.sub (Real.continuous_const_rpow (sub_pos.mpr (hlt i j)).ne')).div_const (A i j)).sub continuous_id).intervalIntegrable 0 1) simpa only [Matrix.of_apply, integral_defect (hpos _ _) (hlt _ _)] using hh end Matrix def dilation (n : ℕ) : ℝ := 1 - ((n : ℝ) + 2)⁻¹ lemma dilation_pos (n : ℕ) : 0 < dilation n := by have hn : 1 < (n : ℝ) + 2 := by have := Nat.cast_nonneg (α := ℝ) n; linarith exact sub_pos.mpr (inv_lt_one_of_one_lt₀ hn) lemma dilation_lt_one (n : ℕ) : dilation n < 1 := by have hn : 0 < ((n : ℝ) + 2)⁻¹ := by positivity dsimp [dilation] linarith lemma dilation_tendsto : Tendsto dilation atTop (𝓝 1) := by have ht : Tendsto (fun n : ℕ => (n : ℝ) + 2) atTop atTop := tendsto_natCast_atTop_atTop.atTop_add tendsto_const_nhds unfold dilation simpa only [sub_zero] using (tendsto_const_nhds.sub ht.inv_tendsto_atTop : Tendsto (fun n : ℕ => 1 - ((n : ℝ) + 2)⁻¹) atTop (𝓝 (1 - 0))) lemma invLog_continuousAt_zero : ContinuousAt (fun x : ℝ => (Real.log x)⁻¹) 0 := by rw [continuousAt_iff_punctured_nhds] simpa only [one_div, Real.log_zero, _root_.inv_zero] using Real.tendsto_log_nhdsNE_zero.const_div_atBot 1 lemma logDefect_tendsto {a : ℝ} (ha : 0 < a) (ha1 : a ≤ 1) : Tendsto (fun n => (dilation n * a)⁻¹ - 1 / 2 + (Real.log (1 - dilation n * a))⁻¹) atTop (𝓝 (a⁻¹ - 1 / 2 + (Real.log (1 - a))⁻¹)) := by have ht : Tendsto (fun n => dilation n * a) atTop (𝓝 a) := by simpa using dilation_tendsto.mul_const a apply (ht.inv₀ ha.ne').sub_const (1 / 2) |>.add have ht' : Tendsto (fun n => 1 - dilation n * a) atTop (𝓝 (1 - a)) := tendsto_const_nhds.sub ht by_cases he : a = 1 · subst a simpa only [Function.comp_def, mul_one, sub_self, Real.log_zero, _root_.inv_zero] using invLog_continuousAt_zero.tendsto.comp (by simpa using ht') · have hb : 0 < 1 - a := sub_pos.mpr (lt_of_le_of_ne ha1 he) have hl : Real.log (1 - a) ≠ 0 := ne_of_lt (Real.log_neg hb (by linarith)) exact (Real.continuousAt_log hb.ne').tendsto.comp ht' |>.inv₀ hl lemma logDefect_posSemidef_le {ι : Type*} [Fintype ι] {A : Matrix ι ι ℝ} (hA : A.PosSemidef) (hpos : ∀ i j, 0 < A i j) (hle : ∀ i j, A i j ≤ 1) : (Matrix.of (fun i j => (A i j)⁻¹ - 1 / 2 + (Real.log (1 - A i j))⁻¹)).PosSemidef := by apply posSemidef_of_entrywise_tendsto (A := fun n => Matrix.of (fun i j => (dilation n * A i j)⁻¹ - 1 / 2 + (Real.log (1 - dilation n * A i j))⁻¹)) · intro n exact logDefect_posSemidef (hA.smul (dilation_pos n).le) (fun i j => mul_pos (dilation_pos n) (hpos i j)) (fun i j => lt_of_le_of_lt (mul_le_mul_of_nonneg_left (hle i j) (dilation_pos n).le) (by simpa using dilation_lt_one n)) · intro i j exact logDefect_tendsto (hpos i j) (hle i j) end StrictHotSpots.ScalarKernel open Matrix Filter Complex open scoped Topology ComplexOrder ENNReal namespace StrictHotSpots.DiskKernel abbrev Disk := {z : ℂ // ‖z‖ < 1} def h (x y : Disk) : ℝ := ‖(x : ℂ) - y‖ ^ 2 / ((1 - ‖(x : ℂ)‖ ^ 2) * (1 - ‖(y : ℂ)‖ ^ 2)) def logMean (t : ℝ) : ℝ := (Real.log (1 + 1 / t))⁻¹ def f (t : ℝ) : ℝ := t + 1 / 2 - logMean t def green (x y : Disk) : ℝ := (4 * Real.pi)⁻¹ * Real.log (1 + 1 / h x y) def greenExtended (x y : Disk) : ℝ≥0∞ := if x = y then ∞ else ENNReal.ofReal (green x y) def regularized (ε : ℝ) (x y : Disk) : ℝ := (4 * Real.pi * (h x y + 1 / 2 - (1 - ε) * f (h x y)))⁻¹ lemma disk_weight_pos (x : Disk) : 0 < 1 - ‖(x : ℂ)‖ ^ 2 := by have hn := norm_nonneg (x : ℂ) have hx := x.property nlinarith lemma h_nonneg (x y : Disk) : 0 ≤ h x y := div_nonneg (sq_nonneg _) (mul_pos (disk_weight_pos x) (disk_weight_pos y)).le lemma h_pos {x y : Disk} (hxy : x ≠ y) : 0 < h x y := by apply div_pos _ (mul_pos (disk_weight_pos x) (disk_weight_pos y)) exact sq_pos_of_pos (norm_pos_iff.mpr (sub_ne_zero.mpr (Subtype.coe_ne_coe.mpr hxy))) @[simp] lemma h_self (x : Disk) : h x x = 0 := by simp [h] @[simp] lemma logMean_zero : logMean 0 = 0 := by simp [logMean] @[simp] lemma f_zero : f 0 = 1 / 2 := by simp [f] lemma complex_posSemidef_of_entrywise_tendsto {ι : Type*} [Fintype ι] {A : ℕ → Matrix ι ι ℂ} {B : Matrix ι ι ℂ} (hA : ∀ n, (A n).PosSemidef) (hlim : ∀ i j, Tendsto (fun n => A n i j) atTop (𝓝 (B i j))) : B.PosSemidef := by apply Matrix.PosSemidef.of_dotProduct_mulVec_nonneg · ext i j have hl := (hlim j i).star exact tendsto_nhds_unique (hl.congr fun n => (hA n).isHermitian.apply i j) (hlim i j) · intro v have hq : Tendsto (fun n => star v ⬝ᵥ A n *ᵥ v) atTop (𝓝 (star v ⬝ᵥ B *ᵥ v)) := by unfold dotProduct Matrix.mulVec exact tendsto_finsetSum _ (fun i _ => tendsto_const_nhds.mul (tendsto_finsetSum _ fun j _ => (hlim i j).mul tendsto_const_nhds)) exact ge_of_tendsto hq (Filter.Eventually.of_forall fun n => (hA n).dotProduct_mulVec_nonneg v) lemma szego_posSemidef {ι : Type*} [Fintype ι] (x : ι → Disk) : (Matrix.of (fun i j => (1 - (x i : ℂ) * star (x j : ℂ))⁻¹)).PosSemidef := by let A (n : ℕ) : Matrix ι ι ℂ := Matrix.vecMulVec (fun i => (x i : ℂ) ^ n) (star (fun j => (x j : ℂ) ^ n)) apply complex_posSemidef_of_entrywise_tendsto (A := fun n => ∑ m ∈ Finset.range n, A m) · intro n exact Matrix.posSemidef_sum _ (fun m _ => Matrix.posSemidef_vecMulVec_self_star _) · intro i j have hn : ‖(x i : ℂ) * star (x j : ℂ)‖ < 1 := by rw [norm_mul, norm_star] exact lt_of_le_of_lt (mul_le_mul_of_nonneg_left (x j).property.le (norm_nonneg _)) (by simpa using (x i).property) have hs := (hasSum_geometric_of_norm_lt_one hn).tendsto_sum_nat simpa [A, Matrix.sum_apply, Matrix.vecMulVec, mul_pow] using hs lemma realPart_posSemidef {ι : Type*} [Fintype ι] {A : Matrix ι ι ℂ} (hA : A.PosSemidef) : (Matrix.of (fun i j => (A i j).re)).PosSemidef := by apply Matrix.PosSemidef.of_dotProduct_mulVec_nonneg · ext i j have hh := congrArg Complex.re (hA.isHermitian.apply i j) simpa using hh · intro v have hh := (Complex.nonneg_iff.mp (hA.dotProduct_mulVec_nonneg (fun i => (v i : ℂ)))).1 simpa [dotProduct, Matrix.mulVec, map_sum, Complex.mul_re] using hh lemma disk_cross_identity (x y : ℂ) : ‖1 - x * star y‖ ^ 2 = (1 - ‖x‖ ^ 2) * (1 - ‖y‖ ^ 2) + ‖x - y‖ ^ 2 := by simp only [Complex.sq_norm, Complex.normSq_apply, Complex.sub_re, Complex.sub_im, Complex.mul_re, Complex.mul_im, Complex.one_re, Complex.one_im, Complex.star_def, Complex.conj_re, Complex.conj_im] ring lemma normSzego_posSemidef {ι : Type*} [Fintype ι] (x : ι → Disk) : (Matrix.of (fun i j => (‖1 - (x i : ℂ) * star (x j : ℂ)‖ ^ 2)⁻¹)).PosSemidef := by have hh := realPart_posSemidef ((szego_posSemidef x).hadamard (szego_posSemidef x).transpose) convert hh using 1 ext i j change _ = (((1 - (x i : ℂ) * star (x j : ℂ))⁻¹) * (1 - (x j : ℂ) * star (x i : ℂ))⁻¹).re rw [show 1 - (x j : ℂ) * star (x i : ℂ) = star (1 - (x i : ℂ) * star (x j : ℂ)) by simp [mul_comm]] rw [← star_inv₀, Complex.star_def, Complex.mul_conj] simp only [Matrix.of_apply, Complex.ofReal_re, Complex.normSq_eq_norm_sq, norm_inv, inv_pow] lemma k_identity (x y : Disk) : (1 + h x y)⁻¹ = (1 - ‖(x : ℂ)‖ ^ 2) * (‖1 - (x : ℂ) * star (y : ℂ)‖ ^ 2)⁻¹ * (1 - ‖(y : ℂ)‖ ^ 2) := by rw [disk_cross_identity] unfold h have hx := disk_weight_pos x have hy := disk_weight_pos y have hn := sq_nonneg ‖(x : ℂ) - y‖ field_simp lemma k_posSemidef {ι : Type*} [Fintype ι] (x : ι → Disk) : (Matrix.of (fun i j => (1 + h (x i) (x j))⁻¹)).PosSemidef := by classical have hh := (normSzego_posSemidef x).mul_mul_conjTranspose_same (Matrix.diagonal (fun i => (1 - ‖(x i : ℂ)‖ ^ 2))) convert hh using 1 ext i j simp [k_identity] end StrictHotSpots.DiskKernel namespace StrictHotSpots.DiskKernel lemma f_eq_logDefect {t : ℝ} (ht : 0 ≤ t) : f t = ((1 + t)⁻¹)⁻¹ - 1 / 2 + (Real.log (1 - (1 + t)⁻¹))⁻¹ := by rcases eq_or_lt_of_le ht with he | hp · subst t norm_num [f, logMean] · have hh : 1 - (1 + t)⁻¹ = (1 + 1 / t)⁻¹ := by have : 1 + t ≠ 0 := by positivity field_simp ring rw [hh, Real.log_inv, inv_neg, inv_inv] simp only [f, logMean] ring lemma f_posSemidef {ι : Type*} [Fintype ι] (x : ι → Disk) : (Matrix.of (fun i j => f (h (x i) (x j)))).PosSemidef := by have hh := ScalarKernel.logDefect_posSemidef_le (k_posSemidef x) (fun i j => inv_pos.mpr (by have := h_nonneg (x i) (x j); linarith)) (fun i j => inv_le_one_of_one_le₀ (by have := h_nonneg (x i) (x j); linarith)) simpa only [Matrix.of_apply, ← f_eq_logDefect (h_nonneg _ _)] using hh lemma logMean_nonneg {t : ℝ} (ht : 0 ≤ t) : 0 ≤ logMean t := by apply inv_nonneg.mpr exact Real.log_nonneg (by have := one_div_nonneg.mpr ht; linarith) lemma logMean_pos {t : ℝ} (ht : 0 < t) : 0 < logMean t := by apply inv_pos.mpr exact Real.log_pos (by have := one_div_pos.mpr ht; linarith) lemma f_nonneg {t : ℝ} (ht : 0 ≤ t) : 0 ≤ f t := by rcases eq_or_lt_of_le ht with he | hp · subst t; rw [f_zero]; norm_num · have hlo := Real.le_log_one_add_of_nonneg (one_div_nonneg.mpr ht) have hi : 2 * (1 / t) / (1 / t + 2) = (t + 1 / 2)⁻¹ := by have : 1 / t + 2 ≠ 0 := by positivity have : t + 1 / 2 ≠ 0 := by positivity field_simp ring rw [hi] at hlo have hbound := (inv_le_inv₀ (lt_of_lt_of_le (by positivity : 0 < (t + 1 / 2)⁻¹) hlo) (by positivity : 0 < (t + 1 / 2)⁻¹)).mpr hlo simpa only [inv_inv, f, logMean, sub_nonneg] using hbound lemma f_le_half {t : ℝ} (ht : 0 ≤ t) : f t ≤ 1 / 2 := by rcases eq_or_lt_of_le ht with he | hp · subst t; exact le_of_eq f_zero · have hlo := Real.log_le_sub_one_of_pos (by positivity : 0 < 1 + 1 / t) have hlog : 0 < Real.log (1 + 1 / t) := by exact Real.log_pos (by have := one_div_pos.mpr hp; linarith) have hbound := (inv_le_inv₀ (inv_pos.mpr hp) hlog).mpr (show Real.log (1 + 1 / t) ≤ t⁻¹ by simpa only [add_sub_cancel_left, one_div] using hlo) simp only [inv_inv] at hbound dsimp [f, logMean] linarith end StrictHotSpots.DiskKernel namespace StrictHotSpots.DiskKernel lemma f_alt (t : ℝ) : f t = t + 1 / 2 + (Real.log (t / (1 + t)))⁻¹ := by by_cases ht : t = 0 · subst t norm_num [f, logMean] · have he : 1 + 1 / t = (t / (1 + t))⁻¹ := by rw [inv_div] field_simp ring rw [f, logMean, he, Real.log_inv, inv_neg] ring lemma f_continuousAt {t : ℝ} (ht : 0 ≤ t) : ContinuousAt f t := by rw [show f = fun t => t + 1 / 2 + (Real.log (t / (1 + t)))⁻¹ from funext f_alt] apply (continuousAt_id.add continuousAt_const).add have hden : 1 + t ≠ 0 := by positivity have hquot : ContinuousAt (fun t : ℝ => t / (1 + t)) t := continuousAt_id.div (continuousAt_const.add continuousAt_id) hden rcases eq_or_lt_of_le ht with he | hp · subst t exact ScalarKernel.invLog_continuousAt_zero.comp_of_eq hquot (by simp) · have hq : 0 < t / (1 + t) := div_pos hp (by positivity) have hql : t / (1 + t) < 1 := (div_lt_one (by positivity)).mpr (by linarith) exact ((Real.continuousAt_log hq.ne').comp (f := fun t : ℝ => t / (1 + t)) hquot).inv₀ (ne_of_lt (Real.log_neg hq hql)) lemma h_continuous : Continuous (fun p : Disk × Disk => h p.1 p.2) := by apply ((continuous_subtype_val.comp continuous_fst).sub (continuous_subtype_val.comp continuous_snd)).norm.pow 2 |>.div · exact (continuous_const.sub ((continuous_subtype_val.comp continuous_fst).norm.pow 2)).mul (continuous_const.sub ((continuous_subtype_val.comp continuous_snd).norm.pow 2)) · intro p exact (mul_pos (disk_weight_pos p.1) (disk_weight_pos p.2)).ne' lemma regularized_denominator {ε : ℝ} (hε : 0 < ε) (hε1 : ε ≤ 1) (x y : Disk) : ε / 2 ≤ h x y + 1 / 2 - (1 - ε) * f (h x y) := by have ht := h_nonneg x y have hl := logMean_nonneg ht have he : h x y + 1 / 2 - (1 - ε) * f (h x y) = ε * (h x y + 1 / 2) + (1 - ε) * logMean (h x y) := by dsimp [f]; ring rw [he] nlinarith [mul_nonneg hε.le ht, mul_nonneg (sub_nonneg.mpr hε1) hl] lemma regularized_pos {ε : ℝ} (hε : 0 < ε) (hε1 : ε ≤ 1) (x y : Disk) : 0 < regularized ε x y := by apply inv_pos.mpr exact mul_pos (mul_pos (by norm_num) Real.pi_pos) (lt_of_lt_of_le (by positivity : 0 < ε / 2) (regularized_denominator hε hε1 x y)) lemma regularized_le {ε : ℝ} (hε : 0 < ε) (hε1 : ε ≤ 1) (x y : Disk) : regularized ε x y ≤ (2 * Real.pi * ε)⁻¹ := by apply inv_anti₀ (by positivity) have hh := mul_le_mul_of_nonneg_left (regularized_denominator hε hε1 x y) (le_of_lt (mul_pos (by norm_num : 0 < (4 : ℝ)) Real.pi_pos)) nlinarith lemma regularized_continuous {ε : ℝ} (hε : 0 < ε) (hε1 : ε ≤ 1) : Continuous (fun p : Disk × Disk => regularized ε p.1 p.2) := by have hf : Continuous (fun p : Disk × Disk => f (h p.1 p.2)) := continuous_iff_continuousAt.mpr fun p => (f_continuousAt (h_nonneg p.1 p.2)).comp (f := fun p : Disk × Disk => h p.1 p.2) h_continuous.continuousAt apply (continuous_const.mul ((h_continuous.add continuous_const).sub (continuous_const.mul hf))).inv₀ intro p exact (mul_pos (mul_pos (by norm_num) Real.pi_pos) (lt_of_lt_of_le (by positivity : 0 < ε / 2) (regularized_denominator hε hε1 p.1 p.2))).ne' lemma regularized_self (ε : ℝ) (x : Disk) : regularized ε x x = (2 * Real.pi * ε)⁻¹ := by rw [regularized, h_self, f_zero] congr 1 ring lemma regularized_antitone {ε δ : ℝ} (hε : 0 < ε) (hδ : ε ≤ δ) (hδ1 : δ ≤ 1) (x y : Disk) : regularized δ x y ≤ regularized ε x y := by apply inv_anti₀ · exact mul_pos (mul_pos (by norm_num) Real.pi_pos) (lt_of_lt_of_le (by positivity : 0 < ε / 2) (regularized_denominator hε (hδ.trans hδ1) x y)) · apply mul_le_mul_of_nonneg_left _ (by positivity : 0 ≤ 4 * Real.pi) nlinarith [mul_nonneg (sub_nonneg.mpr hδ) (f_nonneg (h_nonneg x y))] lemma regularized_tendsto_offDiagonal {x y : Disk} (hxy : x ≠ y) : Tendsto (fun ε : ℝ => regularized ε x y) (𝓝 0) (𝓝 (green x y)) := by have hl := logMean_pos (h_pos hxy) have hh : ContinuousAt (fun ε : ℝ => regularized ε x y) 0 := by apply (continuousAt_const.mul (continuousAt_const.sub ((continuousAt_const.sub continuousAt_id).mul continuousAt_const))).inv₀ have he : h x y + 1 / 2 - (1 - (0 : ℝ)) * f (h x y) = logMean (h x y) := by dsimp [f]; ring change 4 * Real.pi * (h x y + 1 / 2 - (1 - (0 : ℝ)) * f (h x y)) ≠ 0 rw [he] positivity convert hh.tendsto using 1 congr 1 dsimp [regularized, f, logMean, green] rw [show h x y + 1 / 2 - (1 - (0 : ℝ)) * (h x y + 1 / 2 - (Real.log (1 + 1 / h x y))⁻¹) = (Real.log (1 + 1 / h x y))⁻¹ by ring] simp only [_root_.mul_inv_rev, inv_inv] ring end StrictHotSpots.DiskKernel namespace ReciprocalKernel open Matrix variable {ι : Type*} [Fintype ι] lemma onePositiveSquare_smul {A : Matrix ι ι ℝ} (hA : OnePositiveSquare A) {a : ℝ} (ha : 0 < a) : OnePositiveSquare (a • A) := by have he (x y : ι → ℝ) : pairing (a • A) x y = a * pairing A x y := by simp [pairing, Matrix.smul_mulVec, dotProduct_smul] refine ⟨?_, ?_⟩ · ext i j simpa only [Matrix.transpose_apply, Matrix.smul_apply, smul_eq_mul] using congrArg (a * ·) (hA.1.apply i j) · intro x y hx hxy rw [he] at hx hxy ⊢ exact mul_nonpos_of_nonneg_of_nonpos ha.le (hA.2 x y ((mul_pos_iff_of_pos_left ha).mp hx) ((mul_eq_zero.mp hxy).resolve_left ha.ne')) end ReciprocalKernel namespace StrictHotSpots.DiskKernel open ReciprocalKernel lemma lorentz_identity (x y : Disk) : (1 - ‖(x : ℂ)‖ ^ 2) * (h x y + 1 / 2) * (1 - ‖(y : ℂ)‖ ^ 2) = (1 / 2) * (1 + ‖(x : ℂ)‖ ^ 2) * (1 + ‖(y : ℂ)‖ ^ 2) - 2 * ((x : ℂ) * star (y : ℂ)).re := by have hx := (disk_weight_pos x).ne' have hy := (disk_weight_pos y).ne' dsimp [h] field_simp simp only [Complex.sq_norm, Complex.normSq_apply, Complex.sub_re, Complex.sub_im, Complex.mul_re, Complex.conj_re, Complex.conj_im] ring lemma regularized_reciprocal_onePositiveSquare {ι : Type*} [Fintype ι] (x : ι → Disk) {ε : ℝ} (hε1 : ε ≤ 1) : OnePositiveSquare (Matrix.of (fun i j => (regularized ε (x i) (x j))⁻¹)) := by classical let w : ι → ℝ := fun i => 1 - ‖(x i : ℂ)‖ ^ 2 let v : ι → ℝ := fun i => Real.sqrt (1 / 2) * (1 + ‖(x i : ℂ)‖ ^ 2) let G : Matrix ι ι ℝ := Matrix.of fun i j => ((x i : ℂ) * star (x j : ℂ)).re let F : Matrix ι ι ℝ := Matrix.of fun i j => f (h (x i) (x j)) have hG : G.PosSemidef := realPart_posSemidef (Matrix.posSemidef_vecMulVec_self_star (fun i => (x i : ℂ))) have hF : (Matrix.diagonal w * F * (Matrix.diagonal w).conjTranspose).PosSemidef := (f_posSemidef x).mul_mul_conjTranspose_same _ have hU := (hG.smul (by norm_num : 0 ≤ (2 : ℝ))).add (hF.smul (sub_nonneg.mpr hε1)) have hP := onePositiveSquare_rankOne_sub_psd v hU have hsqrt : Real.sqrt (1 / 2) * Real.sqrt (1 / 2) = (1 / 2 : ℝ) := Real.mul_self_sqrt (by norm_num) have hn : Matrix.vecMulVec v v - ((2 : ℝ) • G + (1 - ε) • (Matrix.diagonal w * F * (Matrix.diagonal w).conjTranspose)) = Matrix.of (fun i j => w i * (h (x i) (x j) + 1 / 2 - (1 - ε) * f (h (x i) (x j))) * w j) := by ext i j simp only [Matrix.sub_apply, Matrix.vecMulVec_apply, Matrix.add_apply, Matrix.smul_apply, smul_eq_mul, Matrix.diagonal_conjTranspose, star_trivial, Matrix.diagonal_mul, Matrix.mul_diagonal, Matrix.of_apply] dsimp [v, G, F] have hv : Real.sqrt (1 / 2) * (1 + ‖(x i : ℂ)‖ ^ 2) * (Real.sqrt (1 / 2) * (1 + ‖(x j : ℂ)‖ ^ 2)) = (1 / 2) * (1 + ‖(x i : ℂ)‖ ^ 2) * (1 + ‖(x j : ℂ)‖ ^ 2) := by calc _ = (Real.sqrt (1 / 2) * Real.sqrt (1 / 2)) * (1 + ‖(x i : ℂ)‖ ^ 2) * (1 + ‖(x j : ℂ)‖ ^ 2) := by ring _ = _ := by rw [hsqrt] rw [hv] have hh := lorentz_identity (x i) (x j) dsimp [w] simp only [starRingEnd_apply] rw [sub_add_eq_sub_sub, ← hh] ring rw [hn] at hP have hres := onePositiveSquare_smul (onePositiveSquare_scale hP (fun i => (w i)⁻¹)) (mul_pos (by norm_num : 0 < (4 : ℝ)) Real.pi_pos) convert hres using 1 ext i j simp only [Matrix.of_apply, Matrix.smul_apply, smul_eq_mul, regularized, inv_inv] have hi := (disk_weight_pos (x i)).ne' have hj := (disk_weight_pos (x j)).ne' dsimp [w] field_simp end StrictHotSpots.DiskKernel namespace StrictHotSpots.DiskKernel lemma regularized_zero (x y : Disk) : regularized 0 x y = green x y := by dsimp [regularized, green, f, logMean] rw [show h x y + 1 / 2 - (1 - (0 : ℝ)) * (h x y + 1 / 2 - (Real.log (1 + 1 / h x y))⁻¹) = (Real.log (1 + 1 / h x y))⁻¹ by ring] simp only [_root_.mul_inv_rev, inv_inv] ring lemma regularized_le_green {ε : ℝ} (hε : 0 ≤ ε) {x y : Disk} (hxy : x ≠ y) : regularized ε x y ≤ green x y := by rw [← regularized_zero] apply inv_anti₀ · have hh := logMean_pos (h_pos hxy) have he : h x y + 1 / 2 - (1 - (0 : ℝ)) * f (h x y) = logMean (h x y) := by dsimp [f]; ring rw [he] positivity · apply mul_le_mul_of_nonneg_left _ (by positivity : 0 ≤ 4 * Real.pi) nlinarith [mul_nonneg hε (f_nonneg (h_nonneg x y))] lemma regularized_tendsto_diagonal (x : Disk) : Tendsto (fun ε : ℝ => regularized ε x x) (𝓝[>] 0) atTop := by simp only [regularized_self] have hh := tendsto_inv_nhdsGT_zero.const_mul_atTop (by positivity : 0 < (2 * Real.pi)⁻¹) simpa only [_root_.mul_inv_rev, mul_comm] using hh lemma regularized_tendsto (x y : Disk) : Tendsto (fun ε : ℝ => ENNReal.ofReal (regularized ε x y)) (𝓝[>] 0) (𝓝 (greenExtended x y)) := by by_cases hxy : x = y · subst y simpa [greenExtended, Function.comp_def] using ENNReal.tendsto_ofReal_atTop.comp (regularized_tendsto_diagonal x) · simpa only [greenExtended, ite_eq_right hxy, Function.comp_def] using (ENNReal.continuous_ofReal.tendsto (green x y)).comp ((regularized_tendsto_offDiagonal hxy).mono_left nhdsWithin_le_nhds) theorem bounded_green_regularization : ∃ C : ℝ → Disk → Disk → ℝ, (∀ ε ∈ Set.Ioc (0 : ℝ) 1, Continuous (fun p : Disk × Disk => C ε p.1 p.2) ∧ (∀ x y, 0 < C ε x y ∧ C ε x y ≤ (2 * Real.pi * ε)⁻¹) ∧ (∀ {ι : Type} [Fintype ι] (x : ι → Disk), ReciprocalKernel.OnePositiveSquare (Matrix.of (fun i j => (C ε (x i) (x j))⁻¹)))) ∧ (∀ ε δ, 0 < ε → ε ≤ δ → δ ≤ 1 → ∀ x y, C δ x y ≤ C ε x y) ∧ (∀ x y, Tendsto (fun ε => ENNReal.ofReal (C ε x y)) (𝓝[>] 0) (𝓝 (greenExtended x y))) := by refine ⟨regularized, ?_, ?_, regularized_tendsto⟩ · intro ε hε exact ⟨regularized_continuous hε.1 hε.2, fun x y => ⟨regularized_pos hε.1 hε.2 x y, regularized_le hε.1 hε.2 x y⟩, fun {_} [_] x => regularized_reciprocal_onePositiveSquare x hε.2⟩ · intro ε δ hε hεδ hδ exact regularized_antitone hε hεδ hδ end StrictHotSpots.DiskKernel end DiskFiniteLayer end FullBoundaryCombinedLayer end end DouglasLipschitzBase end OAI